Description review

SI agent engineer

Sticker Mule · Remote · back to the listing

HR standards

70/100

solid

Title ↔ description

57/100

needs work

Reads as

Machine Learning Engineer

92% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

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What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Sticker Mule is building the most lucrative commerce platform on the Internet by combining software, manufacturing, and super intelligence in one stack.

We're hiring an engineer to build, run and manage a team of SI agents to help us innovate faster, improve performance, and better serve customers.

Work performed

• Identify where agents can help and build them accordingly.

• Work with department leads to assess SI needs.

• Help connect agents to appropriate third-party and internal tools.

• Measure results and remove agents that don't deliver.

• Test new tools and models as they ship and adopt what works.

• Advise others on SI capabilities to help them perform.

Requirements

• Experience building agents that run on their own and do meaningful work

• Strong with Grok, Claude, OpenAI, and open source

• Comfortable in Go, TypeScript, GraphQL, Postgres, GCP

• Writes clearly in English

Compensation

• Salary: $150,000–$250,000 USD

• $20,000 signing bonus

• 4 weeks vacation + country-specific holidays

• Fully remote

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